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2001.00705
Cited By
Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference
AAAI Conference on Artificial Intelligence (AAAI), 2020
3 January 2020
Jianghao Shen
Y. Fu
Yue Wang
Pengfei Xu
Zinan Lin
Yingyan Lin
MQ
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Papers citing
"Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference"
25 / 25 papers shown
CycleBNN: Cyclic Precision Training in Binary Neural Networks
Federico Fontana
Romeo Lanzino
Anxhelo Diko
G. Foresti
Luigi Cinque
MQ
442
0
0
28 Sep 2024
Don't Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs
AAAI Conference on Artificial Intelligence (AAAI), 2024
Christodoulos Kechris
Jonathan Dan
Jose Miranda
David Atienza
AI4TS
401
1
0
06 Aug 2024
Retraining-free Model Quantization via One-Shot Weight-Coupling Learning
Computer Vision and Pattern Recognition (CVPR), 2024
Chen Tang
Yuan Meng
Jiacheng Jiang
Shuzhao Xie
Rongwei Lu
Cheng Wang
Zhi Wang
Wenwu Zhu
MQ
282
17
0
03 Jan 2024
MTD: Multi-Timestep Detector for Delayed Streaming Perception
Chinese Conference on Pattern Recognition and Computer Vision (CPRCV), 2023
Yihui Huang
Ningjiang Chen
351
2
0
13 Sep 2023
GradMDM: Adversarial Attack on Dynamic Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Jianhong Pan
Lin Geng Foo
Qichen Zheng
Zhipeng Fan
Hossein Rahmani
Qiuhong Ke
Jing Liu
AAML
243
12
0
01 Apr 2023
I3D: Transformer architectures with input-dependent dynamic depth for speech recognition
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Yifan Peng
Jaesong Lee
Shinji Watanabe
342
44
0
14 Mar 2023
Towards Inference Efficient Deep Ensemble Learning
AAAI Conference on Artificial Intelligence (AAAI), 2023
Ziyue Li
Kan Ren
Yifan Yang
Xinyang Jiang
Yuqing Yang
Dongsheng Li
BDL
206
17
0
29 Jan 2023
Accuracy Booster: Enabling 4-bit Fixed-point Arithmetic for DNN Training
Simla Burcu Harma
Canberk Sonmez
Nicholas Sperry
Babak Falsafi
Martin Jaggi
Yunho Oh
MQ
407
5
0
19 Nov 2022
Pruning Early Exit Networks
Alperen Görmez
Erdem Koyuncu
215
8
0
08 Jul 2022
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
International Conference on Machine Learning (ICML), 2022
Y. Fu
Haichuan Yang
Jiayi Yuan
Meng Li
Cheng Wan
Raghuraman Krishnamoorthi
Vikas Chandra
Yingyan Lin
419
26
0
02 Jun 2022
A Closer Look at Branch Classifiers of Multi-exit Architectures
Computer Vision and Image Understanding (CVIU), 2022
Shaohui Lin
Bo Ji
Rongrong Ji
Angela Yao
230
5
0
28 Apr 2022
LDP: Learnable Dynamic Precision for Efficient Deep Neural Network Training and Inference
Zhongzhi Yu
Y. Fu
Shang Wu
Mengquan Li
Haoran You
Yingyan Lin
231
2
0
15 Mar 2022
MIA-Former: Efficient and Robust Vision Transformers via Multi-grained Input-Adaptation
AAAI Conference on Artificial Intelligence (AAAI), 2021
Zhongzhi Yu
Y. Fu
Sicheng Li
Chaojian Li
Yingyan Lin
ViT
238
20
0
21 Dec 2021
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization
Mingliang Xu
Mingbao Lin
Gongrui Nan
Jianzhuang Liu
Baochang Zhang
Yonghong Tian
Rongrong Ji
MQ
950
97
0
17 Nov 2021
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning
International Conference on Machine Learning (ICML), 2021
Robert Hönig
Yiren Zhao
Robert D. Mullins
FedML
418
86
0
31 Oct 2021
Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions
Stefanos Laskaridis
Alexandros Kouris
Nicholas D. Lane
TPM
318
149
0
09 Jun 2021
"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization
Tianlong Chen
Zhenyu Zhang
Xu Ouyang
Zechun Liu
Zhiqiang Shen
Zinan Lin
MQ
257
42
0
16 Apr 2021
HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark
International Conference on Learning Representations (ICLR), 2021
Chaojian Li
Zhongzhi Yu
Yonggan Fu
Yongan Zhang
Yang Zhao
Haoran You
Qixuan Yu
Yue Wang
Yingyan Lin
366
127
0
19 Mar 2021
Dynamic Neural Networks: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Yizeng Han
Gao Huang
Shiji Song
Le Yang
Honghui Wang
Yulin Wang
3DH
AI4TS
AI4CE
622
863
0
09 Feb 2021
Rethinking Floating Point Overheads for Mixed Precision DNN Accelerators
Conference on Machine Learning and Systems (MLSys), 2021
Hamzah Abdel-Aziz
Ali Shafiee
J. Shin
A. Pedram
Joseph Hassoun
MQ
221
13
0
27 Jan 2021
SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Xiaohan Chen
Yang Zhao
Yue Wang
Pengfei Xu
Haoran You
Chaojian Li
Y. Fu
Yingyan Lin
Zinan Lin
340
1
0
04 Jan 2021
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
Neural Information Processing Systems (NeurIPS), 2020
Y. Fu
Haoran You
Yang Zhao
Yue Wang
Chaojian Li
K. Gopalakrishnan
Zinan Lin
Yingyan Lin
MQ
362
35
0
24 Dec 2020
DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Yang Zhao
Chaojian Li
Yue Wang
Pengfei Xu
Yongan Zhang
Yingyan Lin
239
42
0
26 Feb 2020
AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs
Symposium on Field Programmable Gate Arrays (FPGA), 2020
Pengfei Xu
Xiaofan Zhang
Cong Hao
Yang Zhao
Yongan Zhang
Yue Wang
Chaojian Li
Zetong Guan
Deming Chen
Yingyan Lin
313
95
0
06 Jan 2020
E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings
Neural Information Processing Systems (NeurIPS), 2019
Yue Wang
Ziyu Jiang
Xiaohan Chen
Pengfei Xu
Yang Zhao
Yingyan Lin
Zinan Lin
MQ
470
88
0
29 Oct 2019
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